DEEP TRANSFER LEARNING

Deep Transfer Learning

Transfer learning stands as a powerful approach within the realm of deep neural networks. This paradigm utilizes leveraging pre-trained models, which have been exposed on immense datasets, to accelerate the training process for new tasks. By porting the learned transfer representations from the source domain to the target domain, transfer learning

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